Overview

Dataset statistics

Number of variables20
Number of observations1000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory156.4 KiB
Average record size in memory160.1 B

Variable types

NUM20

Reproduction

Analysis started2020-08-25 00:24:14.301451
Analysis finished2020-08-25 00:25:24.167989
Duration1 minute and 9.87 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

oz9 has unique values Unique
oz17 has unique values Unique
oz1 has unique values Unique
oz24 has unique values Unique
oz12 has unique values Unique
oz10 has unique values Unique
oz14 has unique values Unique
oz2 has unique values Unique
oz23 has unique values Unique
oz6 has unique values Unique
oz3 has unique values Unique
oz13 has unique values Unique
oz16 has unique values Unique
oz4 has unique values Unique
oz5 has unique values Unique
oz21 has unique values Unique
oz18 has unique values Unique
oz22 has unique values Unique
oz19 has unique values Unique
target has unique values Unique

Variables

oz9
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.573942774475313e-10
Minimum-1.7058581113815308
Maximum1.7535771131515503
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:25:24.217751image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.705858111
5-th percentile-1.520963061
Q1-0.8968353719
median0.007760135224
Q30.8392883837
95-th percentile1.548201364
Maximum1.753577113
Range3.459435225
Interquartile range (IQR)1.736123756

Descriptive statistics

Standard deviation0.9999999999
Coefficient of variation (CV)3885090258
Kurtosis-1.215598479
Mean2.573942774e-10
Median Absolute Deviation (MAD)0.8710854053
Skewness0.01450435437
Sum2.573942774e-07
Variance0.9999999998
2020-08-25T00:25:24.323711image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.51562321210.1%
 
1.56769657110.1%
 
1.72399115610.1%
 
0.705743253210.1%
 
0.341579258410.1%
 
1.55889904510.1%
 
-1.50145912210.1%
 
-1.6810036910.1%
 
0.992841899410.1%
 
-1.32162046410.1%
 
-0.720713317410.1%
 
-0.201370522410.1%
 
1.46223318610.1%
 
1.29811680310.1%
 
-1.31600034210.1%
 
-0.324539512410.1%
 
0.0365377403810.1%
 
-0.163734063510.1%
 
0.623685300410.1%
 
0.108966417610.1%
 
-1.14189350610.1%
 
-1.61845028410.1%
 
0.451466739210.1%
 
0.114667408210.1%
 
0.659401953210.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.70585811110.1%
 
-1.70421636110.1%
 
-1.70417845210.1%
 
-1.70051765410.1%
 
-1.70046234110.1%
 
-1.69562017910.1%
 
-1.69536495210.1%
 
-1.69391965910.1%
 
-1.69033241310.1%
 
-1.68957674510.1%
 
ValueCountFrequency (%) 
1.75357711310.1%
 
1.75151944210.1%
 
1.74873900410.1%
 
1.73988485310.1%
 
1.73181164310.1%
 
1.72399115610.1%
 
1.71889698510.1%
 
1.71823942710.1%
 
1.71528875810.1%
 
1.71379685410.1%
 

oz17
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.4333054405568646e-09
Minimum-1.7358908653259275
Maximum1.7169177532196045
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:25:24.608684image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.735890865
5-th percentile-1.567587805
Q1-0.8801022023
median-0.005751891993
Q30.8443311453
95-th percentile1.535646498
Maximum1.716917753
Range3.452808619
Interquartile range (IQR)1.724433348

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-697687995.6
Kurtosis-1.227527347
Mean-1.433305441e-09
Median Absolute Deviation (MAD)0.8631884456
Skewness-0.02274239137
Sum-1.433305441e-06
Variance0.9999999999
2020-08-25T00:25:24.712364image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.53124630510.1%
 
1.4935398110.1%
 
-0.483357250710.1%
 
-0.33531153210.1%
 
-1.23967933710.1%
 
-1.18765425710.1%
 
1.69503867610.1%
 
0.195974320210.1%
 
-0.580769956110.1%
 
0.72139376410.1%
 
-0.178883135310.1%
 
1.29599201710.1%
 
-0.211108237510.1%
 
-0.0874873325210.1%
 
-0.891303896910.1%
 
0.210618048910.1%
 
-1.70052444910.1%
 
0.89325308810.1%
 
0.294698059610.1%
 
1.71691775310.1%
 
-0.744808435410.1%
 
0.180342271910.1%
 
-0.60808718210.1%
 
-0.746757805310.1%
 
1.61658668510.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.73589086510.1%
 
-1.73233044110.1%
 
-1.72930562510.1%
 
-1.724985610.1%
 
-1.72326648210.1%
 
-1.72131013910.1%
 
-1.71883094310.1%
 
-1.71755385410.1%
 
-1.71518158910.1%
 
-1.71165275610.1%
 
ValueCountFrequency (%) 
1.71691775310.1%
 
1.71335804510.1%
 
1.71224772910.1%
 
1.70466399210.1%
 
1.69567215410.1%
 
1.69503867610.1%
 
1.69502472910.1%
 
1.68881034910.1%
 
1.68472051610.1%
 
1.68147885810.1%
 

oz1
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.655441283001437e-11
Minimum-1.6855516433715818
Maximum1.716244101524353
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:25:24.828151image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.685551643
5-th percentile-1.539379853
Q1-0.8950601816
median0.03241778165
Q30.8585257977
95-th percentile1.552988464
Maximum1.716244102
Range3.401795745
Interquartile range (IQR)1.753585979

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-2.735647828e+10
Kurtosis-1.249438455
Mean-3.655441283e-11
Median Absolute Deviation (MAD)0.8948046863
Skewness-0.004088219636
Sum-3.655441283e-08
Variance1.000000001
2020-08-25T00:25:24.935115image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.672945320610.1%
 
1.40359330210.1%
 
-0.280510783210.1%
 
-0.611974656610.1%
 
-1.38933420210.1%
 
0.848300516610.1%
 
0.623689651510.1%
 
-1.0598752510.1%
 
-0.243486881310.1%
 
0.942041814310.1%
 
-0.164616689110.1%
 
-1.20829343810.1%
 
-1.59960365310.1%
 
-1.29813098910.1%
 
-1.20048129610.1%
 
-0.0395058132710.1%
 
-0.697859704510.1%
 
-0.858045339610.1%
 
0.332341790210.1%
 
1.32726430910.1%
 
1.46139860210.1%
 
1.31763374810.1%
 
-0.928367376310.1%
 
-0.670533895510.1%
 
-0.881470084210.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.68555164310.1%
 
-1.6837867510.1%
 
-1.68127071910.1%
 
-1.680625210.1%
 
-1.67448353810.1%
 
-1.67298531510.1%
 
-1.66905248210.1%
 
-1.66494870210.1%
 
-1.6616307510.1%
 
-1.65918505210.1%
 
ValueCountFrequency (%) 
1.71624410210.1%
 
1.71371376510.1%
 
1.70904064210.1%
 
1.70803022410.1%
 
1.70076203310.1%
 
1.6996258510.1%
 
1.69397199210.1%
 
1.69124722510.1%
 
1.69114255910.1%
 
1.68869805310.1%
 

oz24
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2434866221155972e-09
Minimum-1.6807156801223757
Maximum1.7095404863357544
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:25:25.049679image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.68071568
5-th percentile-1.562446386
Q1-0.8372338116
median0.00192667026
Q30.8722659498
95-th percentile1.539515418
Maximum1.709540486
Range3.390256166
Interquartile range (IQR)1.709499761

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)804190397.4
Kurtosis-1.204349895
Mean1.243486622e-09
Median Absolute Deviation (MAD)0.8593796194
Skewness-0.001613125593
Sum1.243486622e-06
Variance1.000000002
2020-08-25T00:25:25.154124image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.42480400210.1%
 
0.0657523125410.1%
 
0.148265004210.1%
 
0.0549729168410.1%
 
-0.392905414110.1%
 
-1.64193010310.1%
 
0.957676529910.1%
 
1.51740932510.1%
 
0.7465505610.1%
 
-0.90493625410.1%
 
-1.2916239510.1%
 
1.38154494810.1%
 
1.06904888210.1%
 
-1.22782468810.1%
 
-1.20102989710.1%
 
1.49344205910.1%
 
-1.42354857910.1%
 
-1.13406467410.1%
 
0.645763993310.1%
 
-0.0813764035710.1%
 
0.330387562510.1%
 
1.18482708910.1%
 
-0.15049238510.1%
 
-1.38794565210.1%
 
1.00409328910.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.6807156810.1%
 
-1.68029570610.1%
 
-1.68001055710.1%
 
-1.67676842210.1%
 
-1.67563736410.1%
 
-1.67338025610.1%
 
-1.67164754910.1%
 
-1.66709494610.1%
 
-1.66530227710.1%
 
-1.66506934210.1%
 
ValueCountFrequency (%) 
1.70954048610.1%
 
1.70605242310.1%
 
1.70584285310.1%
 
1.70575845210.1%
 
1.70510184810.1%
 
1.70454871710.1%
 
1.70397973110.1%
 
1.70088911110.1%
 
1.69115662610.1%
 
1.68958318210.1%
 

oz12
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.548921085894108e-10
Minimum-1.725288152694702
Maximum1.699338436126709
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:25:25.271772image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.725288153
5-th percentile-1.542428082
Q1-0.8706788123
median-0.03296749108
Q30.8715696335
95-th percentile1.546815646
Maximum1.699338436
Range3.424626589
Interquartile range (IQR)1.742248446

Descriptive statistics

Standard deviation0.9999999987
Coefficient of variation (CV)2817757776
Kurtosis-1.226318792
Mean3.548921086e-10
Median Absolute Deviation (MAD)0.8749770951
Skewness-0.0140828976
Sum3.548921086e-07
Variance0.9999999974
2020-08-25T00:25:25.376907image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.35937142410.1%
 
0.871723055810.1%
 
-0.504557967210.1%
 
0.519370973110.1%
 
-0.856117188910.1%
 
-1.35379135610.1%
 
-0.0439855791610.1%
 
-0.735017299710.1%
 
1.528626810.1%
 
1.61846435110.1%
 
-0.0938297435610.1%
 
-0.694261848910.1%
 
-0.306957602510.1%
 
-0.061318762610.1%
 
-0.596392750710.1%
 
1.61062645910.1%
 
1.05184209310.1%
 
-0.428044736410.1%
 
-1.42223298510.1%
 
-0.0760050788510.1%
 
-0.655328512210.1%
 
-1.59107911610.1%
 
-1.39538264310.1%
 
0.820926129810.1%
 
-0.250360012110.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.72528815310.1%
 
-1.72288060210.1%
 
-1.72160422810.1%
 
-1.71884822810.1%
 
-1.71785223510.1%
 
-1.71743106810.1%
 
-1.71623122710.1%
 
-1.71215140810.1%
 
-1.71039652810.1%
 
-1.71020913110.1%
 
ValueCountFrequency (%) 
1.69933843610.1%
 
1.69887936110.1%
 
1.69807350610.1%
 
1.69762754410.1%
 
1.69555985910.1%
 
1.69399762210.1%
 
1.69210469710.1%
 
1.69168496110.1%
 
1.68600642710.1%
 
1.68254435110.1%
 

oz10
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.8182770367711784e-10
Minimum-1.7956428527832031
Maximum1.723639965057373
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:25:25.494713image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.795642853
5-th percentile-1.60694778
Q1-0.8113977015
median-0.03701175377
Q30.8564951122
95-th percentile1.56866762
Maximum1.723639965
Range3.519282818
Interquartile range (IQR)1.667892814

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-2618982307
Kurtosis-1.144888491
Mean-3.818277037e-10
Median Absolute Deviation (MAD)0.8269272745
Skewness-0.003576651908
Sum-3.818277037e-07
Variance1
2020-08-25T00:25:25.600012image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.787109017410.1%
 
-1.41756665710.1%
 
0.253274977210.1%
 
-0.510455906410.1%
 
0.867876350910.1%
 
0.500688254810.1%
 
-0.149158418210.1%
 
-0.0142014753110.1%
 
0.0449647307410.1%
 
-0.448583096310.1%
 
0.381196081610.1%
 
-1.06384575410.1%
 
-0.790540993210.1%
 
-0.528012633310.1%
 
-0.239970788410.1%
 
-1.54366564810.1%
 
-0.600247621510.1%
 
-1.49351465710.1%
 
0.0464790910510.1%
 
-0.803394854110.1%
 
-1.60024464110.1%
 
0.613939225710.1%
 
1.25521862510.1%
 
1.21224784910.1%
 
1.46686124810.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.79564285310.1%
 
-1.79520869310.1%
 
-1.79116928610.1%
 
-1.77884101910.1%
 
-1.76361525110.1%
 
-1.7634344110.1%
 
-1.75977587710.1%
 
-1.74770975110.1%
 
-1.74492943310.1%
 
-1.74064481310.1%
 
ValueCountFrequency (%) 
1.72363996510.1%
 
1.71937930610.1%
 
1.71415603210.1%
 
1.71414780610.1%
 
1.71414339510.1%
 
1.71307706810.1%
 
1.70984196710.1%
 
1.70305824310.1%
 
1.70159435310.1%
 
1.6963014610.1%
 

oz14
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6183184925466777e-10
Minimum-1.7890222072601318
Maximum1.745669960975647
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:25:25.718376image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.789022207
5-th percentile-1.591120017
Q1-0.7995283604
median-0.01448543742
Q30.8410794586
95-th percentile1.577545416
Maximum1.745669961
Range3.534692168
Interquartile range (IQR)1.640607819

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)6179253381
Kurtosis-1.134007342
Mean1.618318493e-10
Median Absolute Deviation (MAD)0.8336117268
Skewness-0.04055285779
Sum1.618318493e-07
Variance1.000000003
2020-08-25T00:25:25.827560image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.0976501710.1%
 
-1.17030656310.1%
 
-0.8580859910.1%
 
0.937132835410.1%
 
1.65757131610.1%
 
-0.8204919110.1%
 
-1.60678517810.1%
 
0.374495893710.1%
 
-1.52083718810.1%
 
-0.356771260510.1%
 
-0.666809439710.1%
 
0.821146428610.1%
 
-1.57540845910.1%
 
-0.936185896410.1%
 
-0.353673726310.1%
 
0.659993469710.1%
 
0.0789336711210.1%
 
0.529929876310.1%
 
-0.561178743810.1%
 
-0.267499268110.1%
 
0.842426598110.1%
 
-0.832660555810.1%
 
1.64969229710.1%
 
-0.193026974810.1%
 
-0.169100791210.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.78902220710.1%
 
-1.78569173810.1%
 
-1.78021752810.1%
 
-1.7792794710.1%
 
-1.77837634110.1%
 
-1.77451562910.1%
 
-1.77184212210.1%
 
-1.75903582610.1%
 
-1.75608384610.1%
 
-1.75372397910.1%
 
ValueCountFrequency (%) 
1.74566996110.1%
 
1.74557530910.1%
 
1.73941683810.1%
 
1.73759341210.1%
 
1.73686635510.1%
 
1.73640799510.1%
 
1.73261606710.1%
 
1.73246896310.1%
 
1.72677719610.1%
 
1.71754634410.1%
 

oz2
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.430491339415311e-11
Minimum-1.7875399589538574
Maximum1.6834129095077517
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:25:25.942400image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.787539959
5-th percentile-1.618470174
Q1-0.8379336596
median0.003623289405
Q30.8505078554
95-th percentile1.513403887
Maximum1.68341291
Range3.470952868
Interquartile range (IQR)1.688441515

Descriptive statistics

Standard deviation0.9999999981
Coefficient of variation (CV)-1.55509112e+10
Kurtosis-1.191341135
Mean-6.430491339e-11
Median Absolute Deviation (MAD)0.8449582631
Skewness-0.05968449836
Sum-6.430491339e-08
Variance0.9999999961
2020-08-25T00:25:26.045296image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.41644775910.1%
 
0.491428673310.1%
 
1.54853689710.1%
 
1.67710864510.1%
 
-1.05600941210.1%
 
-0.55729705110.1%
 
-0.323569744810.1%
 
1.49740362210.1%
 
0.349936276710.1%
 
0.330403387510.1%
 
0.771722257110.1%
 
-0.346701860410.1%
 
1.55987751510.1%
 
-1.5247205510.1%
 
1.18878066510.1%
 
-1.04470157610.1%
 
-0.185886487410.1%
 
-0.496411889810.1%
 
-1.20439314810.1%
 
-0.567038714910.1%
 
0.754536807510.1%
 
-0.127376362710.1%
 
-0.0835746750210.1%
 
1.02077877510.1%
 
0.412421584110.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.78753995910.1%
 
-1.78212189710.1%
 
-1.7745575910.1%
 
-1.77414965610.1%
 
-1.76750028110.1%
 
-1.7657983310.1%
 
-1.76234912910.1%
 
-1.75920224210.1%
 
-1.75022602110.1%
 
-1.74854397810.1%
 
ValueCountFrequency (%) 
1.6834129110.1%
 
1.67710864510.1%
 
1.67546987510.1%
 
1.67401862110.1%
 
1.67215275810.1%
 
1.66677224610.1%
 
1.66491842310.1%
 
1.65770864510.1%
 
1.65487742410.1%
 
1.6533372410.1%
 

oz23
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-8.731149137020111e-11
Minimum-1.711931228637695
Maximum1.7846461534500122
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:25:26.159419image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.711931229
5-th percentile-1.53585434
Q1-0.8311553895
median-0.04803301394
Q30.8719114959
95-th percentile1.586377764
Maximum1.784646153
Range3.496577382
Interquartile range (IQR)1.703066885

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-1.145324613e+10
Kurtosis-1.15768533
Mean-8.731149137e-11
Median Absolute Deviation (MAD)0.837607339
Skewness0.05047383578
Sum-8.731149137e-08
Variance1.000000001
2020-08-25T00:25:26.261290image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.749998092710.1%
 
1.62027311310.1%
 
-0.0657264739310.1%
 
1.02475595510.1%
 
-1.42261064110.1%
 
0.758468568310.1%
 
-0.797523796610.1%
 
0.453446865110.1%
 
-0.0659751817610.1%
 
1.61456382310.1%
 
1.42706191510.1%
 
0.203283965610.1%
 
0.570948362410.1%
 
-0.283481657510.1%
 
-1.33329522610.1%
 
0.204258650510.1%
 
-0.48077148210.1%
 
-0.956404149510.1%
 
-0.9264385710.1%
 
-1.4557859910.1%
 
-0.774275302910.1%
 
0.98304104810.1%
 
-0.28486135610.1%
 
-0.529913425410.1%
 
-0.28253358610.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.71193122910.1%
 
-1.70996999710.1%
 
-1.70939326310.1%
 
-1.70332109910.1%
 
-1.70026433510.1%
 
-1.68691015210.1%
 
-1.68631577510.1%
 
-1.68237805410.1%
 
-1.67423045610.1%
 
-1.67158758610.1%
 
ValueCountFrequency (%) 
1.78464615310.1%
 
1.78133988410.1%
 
1.77946686710.1%
 
1.77731454410.1%
 
1.77690935110.1%
 
1.77545905110.1%
 
1.7744611510.1%
 
1.77322816810.1%
 
1.77302074410.1%
 
1.77152812510.1%
 

oz6
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.7601996660232544e-10
Minimum-1.767234444618225
Maximum1.6947989463806152
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:25:26.376912image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.767234445
5-th percentile-1.59737156
Q1-0.829453811
median-0.04140060395
Q30.8940684497
95-th percentile1.546520126
Maximum1.694798946
Range3.462033391
Interquartile range (IQR)1.723522261

Descriptive statistics

Standard deviation0.9999999981
Coefficient of variation (CV)-5681173661
Kurtosis-1.193777111
Mean-1.760199666e-10
Median Absolute Deviation (MAD)0.8563068807
Skewness-0.008723610917
Sum-1.760199666e-07
Variance0.9999999962
2020-08-25T00:25:26.481454image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.15624725810.1%
 
1.66534650310.1%
 
1.34899151310.1%
 
0.910822153110.1%
 
1.33068025110.1%
 
0.414394110410.1%
 
1.37681853810.1%
 
1.02475500110.1%
 
-1.65756571310.1%
 
1.37631285210.1%
 
0.318685710410.1%
 
-0.545957386510.1%
 
1.25519835910.1%
 
1.30207002210.1%
 
-1.25519144510.1%
 
-1.22250378110.1%
 
-0.718663573310.1%
 
0.153968021310.1%
 
-1.25908601310.1%
 
1.12235796510.1%
 
0.249927148210.1%
 
-0.767374396310.1%
 
-0.367502152910.1%
 
-1.28641259710.1%
 
-0.334296554310.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.76723444510.1%
 
-1.76312148610.1%
 
-1.7611941110.1%
 
-1.74751448610.1%
 
-1.74556112310.1%
 
-1.74435973210.1%
 
-1.74313604810.1%
 
-1.74024999110.1%
 
-1.73639285610.1%
 
-1.73237955610.1%
 
ValueCountFrequency (%) 
1.69479894610.1%
 
1.69318544910.1%
 
1.68996024110.1%
 
1.68907797310.1%
 
1.68792724610.1%
 
1.68379318710.1%
 
1.68188905710.1%
 
1.67580485310.1%
 
1.6700824510.1%
 
1.66839647310.1%
 

oz3
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5683763194829226e-09
Minimum-1.7109174728393557
Maximum1.70857572555542
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:25:26.597736image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.710917473
5-th percentile-1.570815712
Q1-0.8619450182
median0.001324849683
Q30.8950469196
95-th percentile1.55775637
Maximum1.708575726
Range3.419493198
Interquartile range (IQR)1.756991938

Descriptive statistics

Standard deviation0.9999999974
Coefficient of variation (CV)637602076.1
Kurtosis-1.21327051
Mean1.568376319e-09
Median Absolute Deviation (MAD)0.8717665672
Skewness-0.003011266476
Sum1.568376319e-06
Variance0.9999999949
2020-08-25T00:25:26.701963image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.837889075310.1%
 
-1.13790595510.1%
 
0.842483520510.1%
 
0.699902176910.1%
 
0.64155626310.1%
 
0.459758460510.1%
 
1.05604755910.1%
 
-0.829520344710.1%
 
0.694036006910.1%
 
-0.713421344810.1%
 
-0.200850993410.1%
 
0.0288293361710.1%
 
-1.61851477610.1%
 
-1.28647565810.1%
 
-0.690110385410.1%
 
-1.28645789610.1%
 
-1.01297974610.1%
 
1.4739482410.1%
 
1.45051145610.1%
 
0.985018491710.1%
 
-1.01691019510.1%
 
-1.36065542710.1%
 
1.32294249510.1%
 
-1.59111678610.1%
 
0.551417291210.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.71091747310.1%
 
-1.70970249210.1%
 
-1.70760548110.1%
 
-1.70630645810.1%
 
-1.70296883610.1%
 
-1.70044267210.1%
 
-1.69590926210.1%
 
-1.68637371110.1%
 
-1.68485724910.1%
 
-1.68476784210.1%
 
ValueCountFrequency (%) 
1.70857572610.1%
 
1.7083097710.1%
 
1.70347571410.1%
 
1.69754195210.1%
 
1.69675874710.1%
 
1.6962064510.1%
 
1.69473373910.1%
 
1.69146370910.1%
 
1.6909856810.1%
 
1.68847894710.1%
 

oz13
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.753237590193749e-10
Minimum-1.6669485569000244
Maximum1.7113802433013916
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:25:26.821744image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.666948557
5-th percentile-1.513174707
Q1-0.8920555413
median0.00529197877
Q30.89103508
95-th percentile1.549337834
Maximum1.711380243
Range3.3783288
Interquartile range (IQR)1.783090621

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)2103829197
Kurtosis-1.257224081
Mean4.75323759e-10
Median Absolute Deviation (MAD)0.890491575
Skewness0.03165093599
Sum4.75323759e-07
Variance1.000000005
2020-08-25T00:25:26.923989image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.172479346410.1%
 
-0.553357660810.1%
 
-1.30205941210.1%
 
1.65677690510.1%
 
1.34502565910.1%
 
1.6223676210.1%
 
1.07540154510.1%
 
-0.472973287110.1%
 
-0.0168698076210.1%
 
-0.599418520910.1%
 
-0.100907601410.1%
 
1.42030847110.1%
 
0.99672001610.1%
 
0.4856640110.1%
 
-0.130450576510.1%
 
-1.51311802910.1%
 
-1.01153349910.1%
 
0.284490257510.1%
 
1.18874025310.1%
 
-0.693978369210.1%
 
-0.681587110.1%
 
-0.68357640510.1%
 
0.919311344610.1%
 
1.03637456910.1%
 
0.901735067410.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.66694855710.1%
 
-1.6657495510.1%
 
-1.66095471410.1%
 
-1.65643048310.1%
 
-1.653665910.1%
 
-1.65344977410.1%
 
-1.65192353710.1%
 
-1.64893269510.1%
 
-1.64473426310.1%
 
-1.64410543410.1%
 
ValueCountFrequency (%) 
1.71138024310.1%
 
1.70358443310.1%
 
1.70247459410.1%
 
1.69759941110.1%
 
1.69708430810.1%
 
1.69549679810.1%
 
1.69401824510.1%
 
1.69367563710.1%
 
1.68429136310.1%
 
1.67982530610.1%
 

oz16
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6867415997268153e-09
Minimum-1.7284128665924072
Maximum1.703587770462036
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:25:27.038971image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.728412867
5-th percentile-1.567040455
Q1-0.886375159
median0.01455531688
Q30.8614325225
95-th percentile1.523079783
Maximum1.70358777
Range3.432000637
Interquartile range (IQR)1.747807682

Descriptive statistics

Standard deviation0.9999999997
Coefficient of variation (CV)592859036.5
Kurtosis-1.232203265
Mean1.6867416e-09
Median Absolute Deviation (MAD)0.873483479
Skewness-0.01606019885
Sum1.6867416e-06
Variance0.9999999994
2020-08-25T00:25:27.143900image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.16609585310.1%
 
0.705746471910.1%
 
-1.13418960610.1%
 
1.52871787510.1%
 
1.63028097210.1%
 
-0.918759703610.1%
 
-1.39980149310.1%
 
-0.570994317510.1%
 
1.12635922410.1%
 
-1.0845369110.1%
 
0.968077361610.1%
 
1.44931244910.1%
 
-0.0605887249110.1%
 
-1.31774663910.1%
 
1.24352490910.1%
 
-1.66685628910.1%
 
-1.387977610.1%
 
-1.47133934510.1%
 
0.298179417810.1%
 
0.875074207810.1%
 
1.3020868310.1%
 
-0.781901240310.1%
 
-0.846349537410.1%
 
-1.13800573310.1%
 
1.51690888410.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.72841286710.1%
 
-1.72392427910.1%
 
-1.72302806410.1%
 
-1.71687662610.1%
 
-1.70714652510.1%
 
-1.70487344310.1%
 
-1.70164394410.1%
 
-1.69897031810.1%
 
-1.69602918610.1%
 
-1.69598853610.1%
 
ValueCountFrequency (%) 
1.7035877710.1%
 
1.69554054710.1%
 
1.69520056210.1%
 
1.6928324710.1%
 
1.69158697110.1%
 
1.69156825510.1%
 
1.68205833410.1%
 
1.6813534510.1%
 
1.68070042110.1%
 
1.67931437510.1%
 

oz4
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6142439562827349e-10
Minimum-1.729546308517456
Maximum1.759616136550903
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:25:27.261458image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.729546309
5-th percentile-1.559009892
Q1-0.8904095292
median0.03789413534
Q30.8206201792
95-th percentile1.559212452
Maximum1.759616137
Range3.489162445
Interquartile range (IQR)1.711029708

Descriptive statistics

Standard deviation0.9999999994
Coefficient of variation (CV)-6194850509
Kurtosis-1.175160381
Mean-1.614243956e-10
Median Absolute Deviation (MAD)0.8394890968
Skewness-0.03587547004
Sum-1.614243956e-07
Variance0.9999999988
2020-08-25T00:25:27.371106image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.707030594310.1%
 
1.19272673110.1%
 
0.307962894410.1%
 
-1.27433824510.1%
 
-0.990921556910.1%
 
0.0816288813910.1%
 
1.64980828810.1%
 
-1.2435563810.1%
 
1.43275773510.1%
 
1.30516469510.1%
 
-1.29552221310.1%
 
-1.13290584110.1%
 
1.50915408110.1%
 
1.27477395510.1%
 
0.221356913410.1%
 
0.672534823410.1%
 
1.59249424910.1%
 
1.44272363210.1%
 
0.877923607810.1%
 
-0.347968339910.1%
 
1.61018109310.1%
 
-0.363918930310.1%
 
0.427723169310.1%
 
-0.479072868810.1%
 
0.603937327910.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.72954630910.1%
 
-1.72413837910.1%
 
-1.71738338510.1%
 
-1.71582591510.1%
 
-1.71574425710.1%
 
-1.71533715710.1%
 
-1.71417725110.1%
 
-1.71236121710.1%
 
-1.707759510.1%
 
-1.70044302910.1%
 
ValueCountFrequency (%) 
1.75961613710.1%
 
1.75871980210.1%
 
1.75433576110.1%
 
1.75213110410.1%
 
1.751492510.1%
 
1.74555468610.1%
 
1.74329543110.1%
 
1.73049521410.1%
 
1.72443532910.1%
 
1.71910285910.1%
 

oz5
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.2852251529693605e-10
Minimum-1.7340400218963623
Maximum1.704460620880127
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:25:27.653925image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.734040022
5-th percentile-1.580285561
Q1-0.8292060047
median-0.02568400651
Q30.8727815002
95-th percentile1.549619091
Maximum1.704460621
Range3.438500643
Interquartile range (IQR)1.701987505

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-7780737862
Kurtosis-1.183139619
Mean-1.285225153e-10
Median Absolute Deviation (MAD)0.8572573066
Skewness0.01513335535
Sum-1.285225153e-07
Variance1.000000002
2020-08-25T00:25:27.757694image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.490248292710.1%
 
-0.981088638310.1%
 
-0.639334797910.1%
 
0.83143830310.1%
 
1.28909969310.1%
 
0.411459147910.1%
 
-0.799480080610.1%
 
1.36457645910.1%
 
-0.831460833510.1%
 
-0.654942333710.1%
 
-1.03777658910.1%
 
0.428815782110.1%
 
-0.725247025510.1%
 
-0.0847958400810.1%
 
0.693990945810.1%
 
0.212069839210.1%
 
1.43869304710.1%
 
-0.0288115814310.1%
 
0.961404144810.1%
 
0.897921860210.1%
 
1.2082660210.1%
 
1.45103335410.1%
 
1.66529309710.1%
 
-0.801395297110.1%
 
0.427658975110.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.73404002210.1%
 
-1.72272145710.1%
 
-1.71145665610.1%
 
-1.71107113410.1%
 
-1.70680522910.1%
 
-1.70494699510.1%
 
-1.7046356210.1%
 
-1.70450055610.1%
 
-1.70418512810.1%
 
-1.70184993710.1%
 
ValueCountFrequency (%) 
1.70446062110.1%
 
1.70088732210.1%
 
1.6975030910.1%
 
1.69186055710.1%
 
1.68885517110.1%
 
1.68711495410.1%
 
1.6855024110.1%
 
1.68224155910.1%
 
1.67967510210.1%
 
1.67626225910.1%
 

oz21
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.39237293601036e-10
Minimum-1.7049554586410522
Maximum1.7525925636291504
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:25:27.876707image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.704955459
5-th percentile-1.539213896
Q1-0.882626012
median0.01977049187
Q30.8325138241
95-th percentile1.596095818
Maximum1.752592564
Range3.457548022
Interquartile range (IQR)1.715139836

Descriptive statistics

Standard deviation0.9999999999
Coefficient of variation (CV)1352745605
Kurtosis-1.188295796
Mean7.392372936e-10
Median Absolute Deviation (MAD)0.8808098324
Skewness0.04697012531
Sum7.392372936e-07
Variance0.9999999999
2020-08-25T00:25:27.980280image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.35546541210.1%
 
-1.48178124410.1%
 
-0.189622417110.1%
 
-1.64015877210.1%
 
1.29041099510.1%
 
0.881532967110.1%
 
1.72790765810.1%
 
-1.27171611810.1%
 
0.746221065510.1%
 
0.748715937110.1%
 
0.762385129910.1%
 
-0.373208850610.1%
 
-0.150067895710.1%
 
1.68882191210.1%
 
1.71616482710.1%
 
-0.378256052710.1%
 
-0.545537948610.1%
 
0.313305020310.1%
 
-0.95442879210.1%
 
-1.13550686810.1%
 
0.527236640510.1%
 
-1.55986475910.1%
 
-1.02470731710.1%
 
-1.1303038610.1%
 
0.986959755410.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.70495545910.1%
 
-1.70150935610.1%
 
-1.6998910910.1%
 
-1.68712699410.1%
 
-1.68304836810.1%
 
-1.67994725710.1%
 
-1.67834460710.1%
 
-1.67621183410.1%
 
-1.67521178710.1%
 
-1.67469251210.1%
 
ValueCountFrequency (%) 
1.75259256410.1%
 
1.75229203710.1%
 
1.75190389210.1%
 
1.74019730110.1%
 
1.73213541510.1%
 
1.73020994710.1%
 
1.73015904410.1%
 
1.72790765810.1%
 
1.7242814310.1%
 
1.72119510210.1%
 

oz18
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.389585237518645e-10
Minimum-1.7099466323852541
Maximum1.7337523698806765
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:25:28.095751image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.709946632
5-th percentile-1.513769346
Q1-0.9369980544
median0.01523079071
Q30.8692472726
95-th percentile1.604833579
Maximum1.73375237
Range3.443699002
Interquartile range (IQR)1.806245327

Descriptive statistics

Standard deviation0.9999999993
Coefficient of variation (CV)-2278119561
Kurtosis-1.230571028
Mean-4.389585238e-10
Median Absolute Deviation (MAD)0.8872734904
Skewness0.0421344792
Sum-4.389585238e-07
Variance0.9999999986
2020-08-25T00:25:28.203813image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.901746213410.1%
 
1.36457586310.1%
 
1.13901364810.1%
 
0.781923115310.1%
 
-1.54821348210.1%
 
-1.17711389110.1%
 
0.590509295510.1%
 
1.58910775210.1%
 
1.11459648610.1%
 
-0.973556518610.1%
 
-0.764327347310.1%
 
0.280600607410.1%
 
0.886695027410.1%
 
-1.60286045110.1%
 
1.15812122810.1%
 
-0.690096199510.1%
 
1.42700409910.1%
 
0.647125899810.1%
 
0.918606340910.1%
 
-1.27080118710.1%
 
0.920555472410.1%
 
-0.641257286110.1%
 
1.5637618310.1%
 
-0.0342190787210.1%
 
-1.00125086310.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.70994663210.1%
 
-1.7076493510.1%
 
-1.70720124210.1%
 
-1.70110201810.1%
 
-1.69757354310.1%
 
-1.68257224610.1%
 
-1.67598462110.1%
 
-1.67598414410.1%
 
-1.66774463710.1%
 
-1.6639795310.1%
 
ValueCountFrequency (%) 
1.7337523710.1%
 
1.73370361310.1%
 
1.73251366610.1%
 
1.73206734710.1%
 
1.7300239810.1%
 
1.72961473510.1%
 
1.71862745310.1%
 
1.71837508710.1%
 
1.71680128610.1%
 
1.71258997910.1%
 

oz22
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.358275767415762e-09
Minimum-1.7742063999176023
Maximum1.744397521018982
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:25:28.325337image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.7742064
5-th percentile-1.595010006
Q1-0.860761866
median0.0182861248
Q30.8535362035
95-th percentile1.554434758
Maximum1.744397521
Range3.518603921
Interquartile range (IQR)1.714298069

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)736227520.4
Kurtosis-1.147035141
Mean1.358275767e-09
Median Absolute Deviation (MAD)0.8507775804
Skewness-0.02608589712
Sum1.358275767e-06
Variance1
2020-08-25T00:25:28.431901image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.566399753110.1%
 
-1.48962128210.1%
 
1.24746763710.1%
 
0.00520858960210.1%
 
-1.18886411210.1%
 
-1.54085779210.1%
 
-0.830757260310.1%
 
0.374952256710.1%
 
0.966120302710.1%
 
1.62635207210.1%
 
-0.512508928810.1%
 
0.39389157310.1%
 
-0.35558167110.1%
 
1.27091276610.1%
 
-1.30602943910.1%
 
-0.491543114210.1%
 
1.02861428310.1%
 
0.476894140210.1%
 
-0.302156418610.1%
 
1.2955619110.1%
 
-0.370444834210.1%
 
-1.29427516510.1%
 
0.0984700620210.1%
 
-0.339192211610.1%
 
-1.06379783210.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.774206410.1%
 
-1.77319955810.1%
 
-1.76978635810.1%
 
-1.76891756110.1%
 
-1.7675638210.1%
 
-1.76008832510.1%
 
-1.75747013110.1%
 
-1.75559091610.1%
 
-1.7536499510.1%
 
-1.74890661210.1%
 
ValueCountFrequency (%) 
1.74439752110.1%
 
1.74109733110.1%
 
1.73874723910.1%
 
1.73380482210.1%
 
1.73292398510.1%
 
1.73159861610.1%
 
1.73130893710.1%
 
1.72954869310.1%
 
1.72867000110.1%
 
1.72724103910.1%
 

oz19
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.206748028285802e-10
Minimum-1.7177586555480957
Maximum1.7105220556259155
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:25:28.551953image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.717758656
5-th percentile-1.540767562
Q1-0.8410547674
median0.02243308257
Q30.8718501776
95-th percentile1.542622817
Maximum1.710522056
Range3.428280711
Interquartile range (IQR)1.712904945

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-1920584585
Kurtosis-1.209057356
Mean-5.206748028e-10
Median Absolute Deviation (MAD)0.8590266705
Skewness-0.02563438337
Sum-5.206748028e-07
Variance1
2020-08-25T00:25:28.662307image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.33984065110.1%
 
-1.70691943210.1%
 
0.111897900710.1%
 
1.60026454910.1%
 
-1.70479369210.1%
 
1.4661372910.1%
 
-1.36066794410.1%
 
0.293499112110.1%
 
1.35123181310.1%
 
0.111980490410.1%
 
1.53639757610.1%
 
1.12728869910.1%
 
0.235650435110.1%
 
-0.210119336810.1%
 
-0.552198767710.1%
 
0.906880676710.1%
 
-1.59494447710.1%
 
-1.040319810.1%
 
1.03250169810.1%
 
1.20437562510.1%
 
0.68031150110.1%
 
-0.0289500504710.1%
 
1.33109819910.1%
 
0.93030321610.1%
 
0.843136727810.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.71775865610.1%
 
-1.71752154810.1%
 
-1.71570587210.1%
 
-1.71561253110.1%
 
-1.70691943210.1%
 
-1.70665776710.1%
 
-1.70582079910.1%
 
-1.70507013810.1%
 
-1.70479369210.1%
 
-1.70196044410.1%
 
ValueCountFrequency (%) 
1.71052205610.1%
 
1.70996677910.1%
 
1.70785582110.1%
 
1.70715963810.1%
 
1.70476293610.1%
 
1.70449578810.1%
 
1.70327973410.1%
 
1.70180654510.1%
 
1.69626247910.1%
 
1.69615387910.1%
 

target
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.860332071781158e-10
Minimum-2.392071485519409
Maximum2.4749343395233154
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:25:28.780372image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.392071486
5-th percentile-1.642583138
Q1-0.7134252638
median0.007186732721
Q30.6992791891
95-th percentile1.662467462
Maximum2.47493434
Range4.867005825
Interquartile range (IQR)1.412704453

Descriptive statistics

Standard deviation0.9999999982
Coefficient of variation (CV)-2590450717
Kurtosis-0.547802977
Mean-3.860332072e-10
Median Absolute Deviation (MAD)0.7113511185
Skewness0.04761666962
Sum-3.860332072e-07
Variance0.9999999964
2020-08-25T00:25:28.886599image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.15234029310.1%
 
-0.537782430610.1%
 
-0.844456076610.1%
 
-0.553439974810.1%
 
0.854216873610.1%
 
1.91471397910.1%
 
-0.299457311610.1%
 
-1.09786415110.1%
 
0.464210808310.1%
 
-0.25453236710.1%
 
-1.11191296610.1%
 
2.46366953810.1%
 
-1.458395610.1%
 
-0.238451018910.1%
 
-1.84119236510.1%
 
-0.406287789310.1%
 
1.07941424810.1%
 
-1.73561954510.1%
 
-0.400058239710.1%
 
0.971367955210.1%
 
0.572926878910.1%
 
1.78490388410.1%
 
0.246853604910.1%
 
1.70281648610.1%
 
-0.118082180610.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-2.39207148610.1%
 
-2.37132954610.1%
 
-2.20697259910.1%
 
-2.18633508710.1%
 
-2.17078304310.1%
 
-2.15766549110.1%
 
-2.12266659710.1%
 
-2.06959152210.1%
 
-2.06949114810.1%
 
-2.06507158310.1%
 
ValueCountFrequency (%) 
2.4749343410.1%
 
2.46366953810.1%
 
2.45121645910.1%
 
2.41427755410.1%
 
2.40396666510.1%
 
2.37044215210.1%
 
2.34429216410.1%
 
2.26547145810.1%
 
2.22343087210.1%
 
2.22078609510.1%
 

Interactions

2020-08-25T00:24:15.478983image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:15.803931image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:15.970870image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:16.139458image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:16.303828image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:16.465745image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:16.631149image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:16.792514image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:16.961017image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:17.128211image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:17.291016image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:17.451936image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:17.614043image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:17.776631image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:17.938320image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:18.100067image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:18.265614image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:18.427911image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:18.588563image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:18.759206image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:18.914242image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:19.076601image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:19.237521image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:19.399495image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:19.559362image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:19.721454image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:19.879810image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:20.039112image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:20.205379image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:20.366683image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:20.690928image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:20.850868image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:21.012666image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:21.184210image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:21.344570image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:21.510465image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:21.675970image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:21.838430image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:22.007587image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:22.169445image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:22.323967image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:22.485423image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:22.648437image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:22.810235image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:22.972373image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:23.138527image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:23.301155image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:23.464008image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:23.634220image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:23.805200image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:23.963921image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:24.127728image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:24.289683image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:24.451506image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:24.614121image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:24.774899image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:24.935623image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:25.096270image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:25.259044image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:25.588208image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:25.744765image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:25.911315image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:26.072417image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:26.232587image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:26.394553image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:26.556121image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:26.720251image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:26.883692image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:27.048661image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:27.214081image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:27.379152image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:27.540977image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:27.702997image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:27.867023image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:24:28.027690image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T00:25:03.401197image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:03.565395image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:03.731390image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:03.894350image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:04.060714image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:04.226901image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:04.390351image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:04.554398image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:04.717833image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:04.879468image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:05.223626image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:05.386461image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:05.549024image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:05.710588image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:05.872361image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:06.039378image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:06.202795image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:06.366899image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:06.531473image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:06.690076image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:06.852291image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:07.017802image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:07.179948image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:07.347823image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:07.512344image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:07.679337image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:07.843745image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:08.006971image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:08.169375image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:08.331725image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:08.503258image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:08.669236image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:08.832720image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:08.996629image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:09.163216image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:09.324994image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:09.491668image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:09.660351image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:09.822029image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:10.149879image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:10.314778image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:10.477469image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:10.640148image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:10.804957image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:10.970051image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:11.133956image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:11.297757image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:11.462075image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:11.625924image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:11.788517image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:11.953229image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:12.117262image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:12.279946image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:12.442596image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:12.606397image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:12.769315image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:12.934396image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:13.100094image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:13.263278image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:13.418972image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:13.583221image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:13.752587image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:13.922641image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:14.085991image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:14.249903image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:14.415054image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:14.579495image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:14.743433image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:15.085961image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:15.249582image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:15.410958image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:15.579552image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:15.746668image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:15.909573image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:16.073732image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:16.239740image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:16.403388image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:16.565773image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:16.730728image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:16.887055image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:17.050067image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:17.213936image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:17.378147image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:17.543124image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:17.707403image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:17.875072image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:18.037906image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:18.201900image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:18.364056image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:18.529673image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:18.696295image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:18.857889image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:19.020661image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:19.184222image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:19.346178image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:19.511376image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:19.678502image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:20.014375image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:20.175400image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:20.329494image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:20.480459image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:20.632049image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:20.784505image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:20.945711image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:21.097390image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:21.249227image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:21.400618image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:21.552222image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:21.709756image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:21.863797image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:22.015287image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:22.169101image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:22.322499image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:22.475507image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:22.627716image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:22.782391image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:22.934915image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:23.089219image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:23.248286image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T00:25:29.035052image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T00:25:29.349814image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T00:25:29.662825image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T00:25:29.971987image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T00:25:23.548826image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:25:24.020123image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

oz9oz17oz1oz24oz12oz10oz14oz2oz23oz6oz3oz13oz16oz4oz5oz21oz18oz22oz19target
01.106246-1.2053840.843376-0.549913-1.4628450.161324-1.7216101.128392-1.0566920.425793-1.6848570.755871-0.4056251.0172910.979971-0.6647930.1164040.066310-0.5674482.403967
1-0.1728711.3150671.5905790.613789-0.891225-0.9078431.1008341.2894230.983041-1.726612-1.6780900.0700151.624279-1.342499-1.4095651.6801280.248330-0.4409740.412886-0.833284
2-1.143250-0.1346070.8442640.6116920.489449-1.5317781.5305080.355725-0.122081-1.2971581.220812-1.0913501.7035880.807087-0.362120-0.3061271.3109260.2087631.7071601.225161
3-0.0524441.2965341.360307-0.001622-0.311302-0.9176660.471357-0.579731-0.380461-0.718664-0.0929481.019298-1.3552100.294874-0.395980-1.2308170.740398-0.3118491.0346210.386921
4-0.727585-0.045251-0.769061-1.3503631.5596880.2447201.227153-0.8825390.2482870.050550-0.0162480.023397-0.2191640.800169-0.702862-0.080521-0.402474-1.5795331.060437-0.480217
5-0.2484100.1284731.302090-0.0642461.0791660.2958310.921883-1.3093051.444527-0.886230-1.4355340.7513741.5190100.658449-1.3725290.7297581.1878340.0114821.4775690.509673
60.260617-1.346898-0.3329581.331671-0.1582120.5006880.253868-0.800242-1.4723871.689960-1.118352-1.159925-1.6550011.712970-0.377160-1.186875-1.036187-1.665135-0.4036020.827644
7-0.475709-0.940360-0.047650-0.0748881.054515-0.497341-1.1846710.0995730.5775071.3979690.169216-0.8354440.0135861.4872420.4765211.752593-0.764327-0.684510-0.3644431.050420
80.8862050.294698-0.699706-1.0651990.9918901.0071350.6100331.396134-0.758969-0.352677-1.6706740.324187-0.0559030.2546150.632767-0.2670210.875296-0.285728-0.5039931.141725
9-0.002294-0.727920-1.538357-0.286455-1.006457-1.053954-0.9361861.1812120.5989710.627774-1.1234061.6936760.026471-0.575399-1.4149340.0440680.742532-1.757470-0.672839-1.404187

Last rows

oz9oz17oz1oz24oz12oz10oz14oz2oz23oz6oz3oz13oz16oz4oz5oz21oz18oz22oz19target
990-0.8981620.2339591.3155270.966303-0.415475-1.693207-0.2613281.151750-0.141896-1.3196660.9311770.3688461.3553640.266972-0.761439-1.2222721.324069-1.746188-0.8833210.165001
991-1.0257240.6578110.436182-1.6802960.6116681.3061550.508942-1.0947001.324785-0.829228-0.458161-1.348551-0.032602-0.319426-1.334713-0.085590-1.0134791.507674-0.334953-1.296237
992-1.438529-0.514365-1.542934-0.0365801.4655061.214476-0.2423840.004916-0.1987931.4514241.0587821.702475-1.067141-0.272957-1.340303-1.139537-0.1038981.3987061.509699-1.458396
9930.7794380.342552-0.9764531.0274381.321312-0.2640470.828092-1.133490-0.4880600.6071500.305304-1.606482-0.188022-1.0675601.406574-1.483320-0.947709-1.0153850.926560-1.223746
994-0.1083740.037783-0.010147-0.058180-0.2072271.1953820.1250180.2444571.750892-0.8124971.049343-1.076693-1.1056090.916065-0.0225560.7978190.886695-0.154372-0.4206251.264335
9951.448457-0.820494-0.5940960.610657-0.0969330.0679251.2087700.7100950.387229-0.632262-0.2676761.663821-1.082912-1.298993-1.6891170.023095-1.709947-1.220723-1.515936-1.302172
996-0.808412-0.194989-0.5620360.965406-1.1194601.181844-1.2354560.461811-1.465735-1.151722-0.797996-1.434770-0.944951-0.4244851.437858-1.646347-1.342371-1.6211780.0720870.040430
9971.5252890.151221-1.4576330.422732-0.8288050.2632701.218469-1.627812-1.2151710.0390810.551960-1.5719640.5339910.0935330.629053-1.6331320.762260-0.950815-0.505877-1.218250
998-0.126734-0.5614520.931154-0.7067580.315512-1.111883-0.222907-0.030343-0.5245371.3013170.8057261.332459-1.4007301.189625-1.7045010.3399010.2303451.6824881.1074810.708965
9990.095459-1.7116531.6641680.7374000.536628-1.7335900.311312-0.188349-0.3403560.5884290.5380860.894231-0.887856-0.049470-0.572949-1.0878300.146976-0.427806-1.3509940.608730